Package: MTAFT
Type: Package
Title: Data-Driven Estimation for Multi-Threshold Accelerate Failure
        Time Model
Version: 0.1.0
Date: 2023-11-10
Authors@R: c(
    person("Chuang", "WAN", email = "wanchuang@nankai.edu.cn", role = c("aut", "cre")),
    person("Hao", "ZENG", email = "zenghao@stu.xmu.edu.cn", role = c("aut")),
    person("Wei", "ZHONG", email = "wzhong@xmu.edu.cn", role = "aut"),
    person("Changliang", "ZOU", email = "nk.chlzou@gmail.com", role = "aut"))
Maintainer: Chuang WAN <wanchuang@nankai.edu.cn>
Description: Developed a data-driven estimation framework for the multi-threshold accelerate failure time (MTAFT) model. The MTAFT model features different linear forms in different subdomains, and one of the major challenges is determining the number of threshold effects. The package introduces a data-driven approach that utilizes a Schwarz' information criterion, which demonstrates consistency under mild conditions. Additionally, a cross-validation (CV) criterion with an order-preserved sample-splitting scheme is proposed to achieve consistent estimation, without the need for additional parameters. The package establishes the asymptotic properties of the parameter estimates and includes an efficient score-type test to examine the existence of threshold effects. The methodologies are supported by numerical experiments and theoretical results, showcasing their reliable performance in finite-sample cases.
License: GPL-3
Depends: R (>= 3.5.0)
Suggests: MASS, knitr, rmarkdown
RoxygenNote: 7.2.3
Encoding: UTF-8
Imports: graphics, methods, stats, grpreg
NeedsCompilation: no
Packaged: 2023-11-12 09:23:42 UTC; zenghao
Author: Chuang WAN [aut, cre],
  Hao ZENG [aut],
  Wei ZHONG [aut],
  Changliang ZOU [aut]
Repository: CRAN
Date/Publication: 2023-11-13 17:43:21 UTC
Built: R 4.3.3; ; 2025-01-24 10:06:15 UTC; unix
